NEWS.md
The current development version of hesim
.
hesim
now provides a general framework for integrating statistical models with economic evaluation. Users can build a decision model by specifying a model structure, which consists of a set of statistical models for disease progression, utilities, and costs. Each statistical model is used to simulate outcomes as a function of estimated parameters and input data. N-state partitioned survival models (PSMs) and individual-level continuous time state transition models (iCTSTMs) are now supported.
sim
was renamed sample
in icea()
, icea_pw()
, and incr_effect()
.icea
and icea_pw()
.Economic models—which combine the disease, utility, and cost models—can be constructed with the following classes:
Psm()
for PSMsIndivCtstm()
for iCTSTMsDisease models are constructed using the classes:
PsmCurves()
to simulate survival curves for each endpoint of interestIndivCtstmTrans()
to simulate health state transitions with a iCTSTMUtility and cost models are constructed with the StateVals
class.
See the introduction for more details.